PharmaBench - Document Structure - Pass Rate: leaderboard

PharmaBench - Document Structure - Pass Rate: Pass rate (%). PharmaBench: 120 tasks across eight synthetic drug programs, three runs per task, same unnamed open-source coding agent in an isolated shell/Python/document sandbox without internet. The original eleven-model report uses provider-default reasoning and an unnamed LLM rubric judge; late scoreboard top-up settings are not separately reported. Pass means every required criterion met and no penalty; mean is rubric reward averaged over runs then tasks. Group breakdowns retain the eleven-model report.

Metric: Pass rate (%). Source: www.micro1.ai. Saturation forecast: Rough model projection: around 2026. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (PharmaBench Run: provider-default; coding-agent-unnamed)14.58
2Claude Fable 5.1 (PharmaBench Run: provider-default; coding-agent-unnamed)14.58
3Gemini 3.8 Flash (PharmaBench Run: provider-default; coding-agent-unnamed)14.58
4Muse Wonder (PharmaBench Run: provider-default; coding-agent-unnamed)14.58
5Muse Spark 1.3 (PharmaBench Run: provider-default; coding-agent-unnamed)12.5
6Gemini 4 Argon (PharmaBench Run: provider-default; coding-agent-unnamed)12.5
7Claude Sonnet 5.5 (PharmaBench Run: provider-default; coding-agent-unnamed)8.33
8Claude Opus 5.5 (PharmaBench Run: provider-default; coding-agent-unnamed)8.33
9Grok 4.6 (PharmaBench Run: provider-default; coding-agent-unnamed)6.25
10Claude Opus 5 (PharmaBench Run: provider-default; coding-agent-unnamed)6.25

Interactive version: theaggregate.ai/benchmark?slug=pharmabench-document-structure-pass-rate · How It Works · Data refreshed daily, snapshot 2026-11-06.